Huawei Canada has an immediate permanent opening for an Principal Engineer.



About the team:

The Computing Data Application Acceleration Lab aims to create a leading global data analytics platform organized into three specialized teams using innovative programming technologies. This team focuses on full-stack innovations, including software-hardware co-design and optimizing data efficiency at both the storage and runtime layers. This team also develops next-generation GPU architecture for gaming, cloud rendering, VR/AR, and Metaverse applications.

One of the goals of this lab are to enhance algorithm performance and training efficiency across industries, fostering long-term competitiveness.

About the job:

• Lead the research and development efforts in AI accelerated neural rendering and neural video compression technologies.
• Drive the evaluation of state-of-the-art (SOTA) algorithms, assessing their performance within the Huawei platform.
• Architect and implement optimizations at both low-level software and hardware layers to enhance visual quality and computing speed.
• Foster deep collaboration with cross-functional teams, providing strategic insights for hardware/software co-design features.
  
  

Job requirements

About The Ideal Candidate：

• Extensive experience and expertise in neural rendering techniques, such as DLSS, NeRF, 3DGS.
• Demonstrated proficiency in Neural Video Compression techniques, including DVC, FVC, and DCVC.
• A thorough understanding of traditional graphics rendering pipeline, such as rasterization and ray-tracing.
• Experience with AI assisted ray tracing acceleration.
• Strong familiarity with traditional video codec (H26x/VPx/AVx).
• Proficient in graphics API, such as Vulkan, OpenGL-ES/OpenGL.
• Advanced programming skills in C/C++ and Python.
• Knowledge of game engines such as O3DE/Unity/UE is an asset.
• Experience with Linux/Android platforms is an asset.